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Darren Rhodes (Scientist)

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Darren Rhodes

Born
5th Jan 1987
Walsall

Occupation
Neuroscientist

Website
www.darrenrhodes.org

Darren Rhodes is a Scientist at the University of Sussex investigating the perception of time, consciousness and multisensory experience. Rhodes’ is a strong proponent of Bayesian Time Perception.[1] He is currently working on an EU FET program TimeStorm[2][3] where he is determining the foundational principles of time perception in humans and artificial systems.

Contents

1 Education
2 Scientific Work

2.1 Primary Interests
2.2 TimeStorm Project

3 Publications
4 References
5 External links

Education[edit]
Darren Rhodes went to school at Wood Green Academy in Wednesbury. He has degrees in Psychology with Neuropsychology (BSc, Bangor, 2011), and Computational Neuroscience (D.Phil./Ph.D., Birmingham, 2015). He is currently a Postdoctoral Fellow at the University of Sussex, working with Prof. Anil Seth[4] at the Sackler Centre for Consciousness Science.[5][6]
Scientific Work[edit]
Primary Interests[edit]
Rhodes’ research relies on the use of Psychophysics, Behvaioural and computational methods to address how human beings and other organisms construct an impression of the world around us from sensory information. Rhodes’ has used Bayesian inference to show how the perception of time is an illusion, as what Humans experience is somewhere between what we expect and what is actually happening.[7] Rhodes’ has a strong interest in Open science and advocates data-sharing and the use of Bayesian statistics in data analyses.[8][9]
TimeStorm Project[edit]
TimeStorm is an EU funded mutlidisciplinary projected aimed at understanding the synergistic interactions between humans and robots through the sense of time.[10] Rhodes’ is building a neurocomputational model of human time perception with Dr. Warrick Roseboom[11] and Prof. Anil Seth.
Publications[edit]
Rhodes’ has published several scientific papers and talks. Most recently his work ‘Optimal Perceived Timing: Integrating Sensory Information with Dynamically Updated Expectations’ was discussed in the Daily Mail[12] and Science Daily.[13]
References[edit]